Senior AI Bioinformatics Engineer

The opportunity involves building AI that can reason over one of the most complex datasets in existence: the human genome. The role includes designing and building distributed services, genomic reasoning engines, retrieval systems, and data platforms that enable AI to accurately reason about genes, variants, diseases, medications, and human health.

This position combines senior AI backend engineering and senior bioinformatics expertise. Candidates should be capable of joining the AI Team as a Senior Backend Engineer while bringing deep knowledge in human whole genome sequencing and bioinformatics.

AI Backend Engineering Requirements:

• 5+ years designing, building, and operating production backend systems at scale.
• Expert-level TypeScript with experience owning production services end to end.
• Strong distributed systems fundamentals.
• Hands-on experience building large-scale data processing systems using technologies such as Apache Spark.
• Deep experience designing high-performance data architectures using PostgreSQL, DuckDB, Redis, and similar technologies.
• Experience building distributed, event-driven systems using technologies such as AWS SQS, RabbitMQ, or BullMQ.
• Experience building production AI systems, including retrieval architectures, vector databases, LLM APIs, and AI evaluation.
• A passion for software craftsmanship.

Bioinformatics Requirements:

• Deep expertise in human whole genome sequencing and genomic interpretation.
• Extensive experience working with VCFs, genomic annotations, and variant interpretation.
• Strong knowledge of ClinVar, dbSNP, gnomAD, HGVS nomenclature, transcript databases, and other core genomic resources.
• Experience building production software that applies bioinformatics and genomic knowledge to real-world applications.
• A passion for genetics and applying complex genomic science to build AI systems.

Responsibilities:

• Design and build the production AI systems powering Sequencing AI.
• Develop distributed backend services, genomic reasoning engines, and retrieval systems.
• Serve as the bioinformatics expert on the AI Team.
• Design how AI represents, retrieves, and reasons over genomic knowledge.
• Build scalable services that enable AI to accurately reason over genes, variants, diseases, medications, and scientific literature.
• Design high-performance data models, indexing strategies, and storage architectures.
• Develop guardrails and deterministic reasoning layers.
• Translate complex bioinformatics and genomic knowledge into scalable software.
• Collaborate with Senior Backend Engineers to architect AI systems.
• Work closely with the Bioinformatics team to integrate genomic annotations and interpretation logic.
• Continuously improve the platform’s scientific accuracy, performance, and capabilities.

Why this role matters:

The systems built will help transform genetic variants and scientific research into AI that people can interact with naturally and trust when making decisions about their health. This role is about creating a new category of technology that combines bioinformatics, genetics, AI, and consumer health.